{"id":"https://openalex.org/W2902853534","doi":"https://doi.org/10.1109/ias.2018.8544694","title":"Neural Network Based Irradiance Mapping Model of Solar PV Power Forecasting Using Sky Image","display_name":"Neural Network Based Irradiance Mapping Model of Solar PV Power Forecasting Using Sky Image","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902853534","doi":"https://doi.org/10.1109/ias.2018.8544694","mag":"2902853534"},"language":"en","primary_location":{"id":"doi:10.1109/ias.2018.8544694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias.2018.8544694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Industry Applications Society Annual Meeting (IAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100455868","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0002-7332-9726"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Hebei Key Laboratory of Distributed Energy Storage and Micro-grid, North China Electric Power University, Baoding, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hebei Key Laboratory of Distributed Energy Storage and Micro-grid, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047929570","display_name":"Xinxin Ge","orcid":"https://orcid.org/0000-0002-4916-6680"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Ge","raw_affiliation_strings":["Department of Electrical Engineering, North China Electric Power University, Baoding, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665356","display_name":"Zhao Zhen","orcid":"https://orcid.org/0000-0001-5406-6441"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Zhen","raw_affiliation_strings":["Department of Electrical Engineering, North China Electric Power University, Baoding, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015484149","display_name":"Hui Ren","orcid":"https://orcid.org/0000-0001-9205-0168"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Ren","raw_affiliation_strings":["Department of Electrical Engineering, North China Electric Power University, Baoding, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101675089","display_name":"Yajing Gao","orcid":"https://orcid.org/0000-0001-8076-6708"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajing Gao","raw_affiliation_strings":["Department of Electrical Engineering, North China Electric Power University, Baoding, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029319198","display_name":"Da\u2010Shuai Ma","orcid":"https://orcid.org/0000-0003-4982-0483"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dashuai Ma","raw_affiliation_strings":["State Grid Suzhou Power Supply Company, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Suzhou Power Supply Company, Suzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088560163","display_name":"Miadreza Shafie\u2010khah","orcid":"https://orcid.org/0000-0003-1691-5355"},"institutions":[{"id":"https://openalex.org/I161321875","display_name":"University of Beira Interior","ror":"https://ror.org/03nf36p02","country_code":"PT","type":"education","lineage":["https://openalex.org/I161321875"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Miadreza Shafie-khah","raw_affiliation_strings":["C-MAST, University of Beira Interior, Covilh\u00e3, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"C-MAST, University of Beira Interior, Covilh\u00e3, Portugal","institution_ids":["https://openalex.org/I161321875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065382518","display_name":"Jo\u00e3o P. S. Catal\u00e0o","orcid":"https://orcid.org/0000-0002-2105-3051"},"institutions":[{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Joao P. S. Catalao","raw_affiliation_strings":["INESC TEC, FEUP, Porto, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INESC TEC, FEUP, Porto, Portugal","institution_ids":["https://openalex.org/I4210166615"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100455868"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":0.8468,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.81127612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10905","display_name":"Solar Thermal and Photovoltaic Systems","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/irradiance","display_name":"Irradiance","score":0.857532262802124},{"id":"https://openalex.org/keywords/sky","display_name":"Sky","score":0.8196858167648315},{"id":"https://openalex.org/keywords/solar-irradiance","display_name":"Solar irradiance","score":0.8162800073623657},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.6018943190574646},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5400667190551758},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4799066483974457},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4320105314254761},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.424025297164917},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3688132166862488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3670511543750763},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2107020616531372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16167578101158142},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15945002436637878},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12490290403366089},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12254965305328369},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08106473088264465}],"concepts":[{"id":"https://openalex.org/C46423501","wikidata":"https://www.wikidata.org/wiki/Q830654","display_name":"Irradiance","level":2,"score":0.857532262802124},{"id":"https://openalex.org/C73329638","wikidata":"https://www.wikidata.org/wiki/Q527","display_name":"Sky","level":2,"score":0.8196858167648315},{"id":"https://openalex.org/C9695528","wikidata":"https://www.wikidata.org/wiki/Q7556707","display_name":"Solar irradiance","level":2,"score":0.8162800073623657},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.6018943190574646},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5400667190551758},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4799066483974457},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4320105314254761},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.424025297164917},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3688132166862488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3670511543750763},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2107020616531372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16167578101158142},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15945002436637878},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12490290403366089},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12254965305328369},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08106473088264465},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ias.2018.8544694","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ias.2018.8544694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Industry Applications Society Annual Meeting (IAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W231446412","https://openalex.org/W1749036211","https://openalex.org/W1968840994","https://openalex.org/W2001464819","https://openalex.org/W2014582920","https://openalex.org/W2021231805","https://openalex.org/W2071884028","https://openalex.org/W2074457964","https://openalex.org/W2075152505","https://openalex.org/W2083397465","https://openalex.org/W2152182839","https://openalex.org/W2169976759","https://openalex.org/W2175389419","https://openalex.org/W2200393290","https://openalex.org/W2240980086","https://openalex.org/W2318502288","https://openalex.org/W2344605881","https://openalex.org/W2402682637","https://openalex.org/W2475871597","https://openalex.org/W2566496077","https://openalex.org/W2589489991","https://openalex.org/W2605945285","https://openalex.org/W2606631653","https://openalex.org/W2738423166","https://openalex.org/W2767365819","https://openalex.org/W2768225014","https://openalex.org/W2771369270","https://openalex.org/W2776400462","https://openalex.org/W2777155931","https://openalex.org/W6699590210"],"related_works":["https://openalex.org/W1530649511","https://openalex.org/W3205657739","https://openalex.org/W3104379783","https://openalex.org/W2550512741","https://openalex.org/W2087130400","https://openalex.org/W2131174359","https://openalex.org/W4322211974","https://openalex.org/W2884263184","https://openalex.org/W2995848355","https://openalex.org/W1749313231"],"abstract_inverted_index":{"Due":[0],"to":[1,19,28,56,99,117,122,157],"the":[2,20,23,30,41,88,101,107,149],"stochastic":[3],"fluctuant":[4],"characteristic":[5],"of":[6,22,45,75,91],"solar":[7,59,76,93,123,142,159],"irradiance,":[8],"large-scale":[9],"grid-connected":[10],"photovoltaic":[11],"(PV)":[12],"power":[13,24,37,78],"plants":[14],"can":[15,52,152],"bring":[16],"great":[17],"difficulties":[18],"operation":[21],"system.":[25],"In":[26],"order":[27],"fulfil":[29],"sky":[31,54,81,108,113,139,154],"images":[32,55,109,140],"based":[33,71,129],"ultra-short":[34],"term":[35],"PV":[36,46,77],"forecasting":[38,79],"and":[39,95,135,141],"enhance":[40],"grid":[42],"consumptive":[43],"ability":[44],"power,":[47],"an":[48],"accurate":[49],"model":[50,74,132,151],"that":[51,148],"map":[53,153],"corresponding":[57],"surface":[58,103,158],"irradiance":[60,72,94,104,130,143,160],"is":[61,83,133],"very":[62],"significant.":[63],"Therefore,":[64],"in":[65,162],"this":[66],"paper":[67],"a":[68,126],"neural":[69,127],"network":[70,128],"mapping":[73,131],"using":[80,137],"image":[82,119,155],"proposed.":[84],"First,":[85],"we":[86],"combine":[87],"theoretical":[89],"calculation":[90],"extraterrestrial":[92],"atmospheric":[96],"optical":[97],"thickness":[98],"establish":[100],"clearance":[102],"model.":[105],"Second,":[106],"observed":[110],"by":[111],"total":[112],"imager":[114],"are":[115],"processed":[116],"extract":[118],"features":[120,156],"related":[121],"irradiance.":[124],"Third,":[125],"built":[134],"trained":[136],"historical":[138],"data.":[144],"Simulation":[145],"results":[146],"show":[147],"proposed":[150],"accurately":[161],"different":[163],"weather":[164],"conditions.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-30T09:15:22.047038","created_date":"2025-10-10T00:00:00"}